硅谷
硅
计算机科学
非晶硅
材料科学
无定形固体
纳米技术
人工智能
化学
光电子学
结晶学
业务
财务
创业
晶体硅
出处
期刊:Nature
[Nature Portfolio]
日期:2021-01-06
卷期号:589 (7840): 22-23
被引量:8
标识
DOI:10.1038/d41586-020-03574-w
摘要
Transitions between amorphous forms of solids and liquids are difficult to study. Machine learning has now provided fresh insight into pressure-induced transformations of amorphous silicon, opening the way to studies of other systems. Simulations of the transitions between amorphous forms of silicon.
科研通智能强力驱动
Strongly Powered by AbleSci AI